Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

TZ Hadza Gut

ABSTRACT: Metabolomics performed on feces from Tanzanian Hadza Hunter-Gatherers across seasons

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Justin Sonnenburg

PROVIDER: MSV000081199 | MassIVE | Tue Jun 27 07:11:00 BST 2017

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

GNPS - TZ Hadza Gut Metabolomics dataset

Project description:Metabolomics performed on feces from Tanzanian Hadza Hunter-Gatherers across seasons

2017-06-27 | MSV000081199 | GNPS

16s rRNA-young and old mouse gut microbiota-stroke

Project description:To explore the effects of gut microbiota of young (8 weeks) or old mice (18～20 months) on stroke, feces of young (Y1-Y9) and old mice (O6-O16) were collected and analyzed by 16s rRNA sequencing. Then stroke model was established on young mouse receive feces from old mouse (DOT1-15) and young mouse receive feces from young mouse (DYT1-15). 16s rRNA sequencing were also performed for those young mice received feces from young and old mice.

2021-10-15 | E-MTAB-10837 | biostudies-arrayexpress

16s rRNA gene sequencing_young and old mouse gut microbiota_Stroke

Project description:Gut microbiota comparation of Young mice (n=10), Old mice, Young_yFMT (Young mice 14 days after transplant feces from young mice, n=10) and Young_oFMT (Young mice 14 days after transplant feces from old mice, n=10), Antibiotic group (Cefazolin, n=8).

2023-08-28 | E-MTAB-13206 | biostudies-arrayexpress

Effect of trans-vaccenic acid(TVA) diet on 16S ribosomal RNA (rRNA) expression of mouse gut microbiome

Project description:To investigate the TVA diet's effect on mouse gut microbiome, we fed C57/BL6 mice with TVA diet or CON diet for 18 days We then collected feces of the mice and performed 16S ribosomal RNA (rRNA) sequencing.

2023-09-21 | GSE202266 | GEO

Gut microbiota drives vitiligo-related oxidative stress in skin via the metabolite Hippuric Acid

Project description:Vitiligo is a common autoimmune skin disorder. We constructed an induced vitiligo mouse model and performed bulk-RNA sequencing on the skin and 16S rRNA sequencing of feces from vitiligo mice and uninduced mice. Next, we performed skin bulk-RNA sequencing after treatment using ABX. Lastly, we subjected gut microbe-related metabolite hippuric acid to control mice and performed bulk-RNA sequencing on the skin to observe oxidative stress-related gene expression changes.

2024-08-21 | GSE273242 | GEO

Gut microbiota analysis in WT and Il17d-deficient mice treated with or without colitis

Project description:Microbiota dysbiosis has been reported to contribute to the pathogenesis of colitis, to demonstrate whether IL-17D protects against DSS-induced colitis through regulation of microflora, we performed 16S rRNA sequencing in feces from WT and Il17d-deficient mice. Our data indicate that Il17d deficiency results in microbiota dysibiosis in both steady state and DSS-induced colitis.

2021-05-20 | GSE165789 | GEO

Correlation analysis between gut microbiota characteristics and melasma

Project description:To compare the similarities and differences in species diversity of the gut microbiota between the patients with melasma and healthy subjects. The feces were collected for 16S rRNA sequencing analysis of the gut microbiota.

2022-10-25 | GSE214430 | GEO

The relationship between colorectal cancer and type 2 diabetes mellitus in gut microbiota

Project description:Interventions: T2DM:collect feces;normal:collect feces ;colorectal cancer:collect feces;DCRC:collect feces Primary outcome(s): gut microbiota;blood routine examination;blood biochemistry;Tumor marker;Immune microenvironment Study Design: Factorial

| 2684404 | ecrin-mdr-crc

Extensive PFAS accumulation by human gut bacteria

Project description:Per- and polyfluoroalkyl Substances (PFAS) – the so-called ‘forever chemicals’ – are a major cause of environmental and health concern due to their toxicity and long-term persistence1,2. Yet, no efficient mechanisms for their removal have been identified. Here we report bioaccumulation of PFAS by several gut bacterial species over a wide range of concentrations from nanomolar up to 500 μM. For bioaccumulating Bacteroides uniformis, a highly prevalent species, we estimate intracellular PFAS concentration in the mM range – above that of most native metabolites. Despite this high bioaccumulation, B. uniformis cells could grow appreciably up to 250 μM perfluorononanoic acid (PFNA) exposure. Escherichia coli, which accumulated PFAS to a much lesser extent, substantially increased PFAS bioaccumulation when lacking TolC efflux pump indicating trans-membrane transport in PFAS bioaccumulation. Electron microscopy and cryogenic Focused Ion Beam-Secondary Ion Massspectrometry revealed distinct morphological changes and intracellular localisation of PFNA aggregates. Bioaccumulation of PFAS and transmembrane transport is also evident in proteomics, metabolomics, thermal proteome profiling, and mutations following adaptive laboratory evolution. In an in vivo context, mice colonized with human gut bacteria showed, compared to germ-free controls or those colonized with low-bioaccumulating bacteria, higher PFNA levels in excreted feces. As the gut microbiota is a critical interface between exposure and human body, our results have implications for understanding and utilizing microbial contribution to PFAS clearance.

2025-04-28 | PXD062206 | Pride

Three-stage continuous culture system with a self-generated anaerobia to study the regionalized metabolism of the human gut microbiota

Project description:A three-stage continuous fermentative system was developed to simulate and control physicochemical factors of the gut biology. Inoculation was of each reactor was performed from a human fecal sample which was initially amplified with a batch procedure. Samples from the initial feces, the batch and from the bioreactors media were collected to extract bacterial DNA. 16S PCR amplification was performed to assess the microbial diversity at the family level using the HuGChip. Amplified DNA was purified and labelled with either Cy3 or Cy5 dye and hybridized on the microarray.

2013-05-07 | GSE46677 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data